Physical Layer Spoof Detection and Authentication for IoT Devices using Deep Learning Methods
D Huang, A Al-Hourani - IEEE Transactions on Machine …, 2024 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) has created significant opportunities for future
telecommunications. A popular category of IoT devices is oriented toward low-cost and low …
telecommunications. A popular category of IoT devices is oriented toward low-cost and low …
[HTML][HTML] A Comprehensive Survey on Deep Learning-Based LoRa Radio Frequency Fingerprinting Identification
LoRa enables long-range communication for Internet of Things (IoT) devices, especially
those with limited resources and low power requirements. Consequently, LoRa has …
those with limited resources and low power requirements. Consequently, LoRa has …
[PDF][PDF] Comparison of Machine Learning Approaches Based on Multiple Channel Attributes for Authentication andSpoofing Detection at the Physical Layer
A Stomaci, D Marabissi, L Mucchi - Journal of Communications, 2024 - jocm.us
The aim of this study is to assess the effectiveness of Physical Layer Authentication (PLA) in
securing IoT nodes. Specifically, we present a PLA framework based on wireless …
securing IoT nodes. Specifically, we present a PLA framework based on wireless …
SmartLens: Robust Detection of Rogue Device via Frequency Domain Features in LoRa-Enabled IIoT
A challenging problem in Long Range (LoRa) communications enabled Industrial Internet of
Things (IIoT) is the detection of rogue devices, which attempt to impersonate real devices by …
Things (IIoT) is the detection of rogue devices, which attempt to impersonate real devices by …
Comprehensive RF dataset collection and release: A deep learning-based device fingerprinting use case
A Elmaghbub, B Hamdaoui - 2021 IEEE Globecom Workshops …, 2021 - ieeexplore.ieee.org
Deep learning-based RF fingerprinting has recently been recognized as a potential solution
tor enabling newly emerging wireless network applications, such as spectrum access policy …
tor enabling newly emerging wireless network applications, such as spectrum access policy …
Deep-learning-based device fingerprinting for increased LoRa-IoT security: Sensitivity to network deployment changes
B Hamdaoui, A Elmaghbub - IEEE network, 2022 - ieeexplore.ieee.org
Deep-learning-based device fingerprinting has recently been recognized as a key enabler
for automated network access authentication. Its robustness to impersonation attacks due to …
for automated network access authentication. Its robustness to impersonation attacks due to …
DeepLoRa: Fingerprinting LoRa devices at scale through deep learning and data augmentation
A Al-Shawabka, P Pietraski, SB Pattar… - Proceedings of the …, 2021 - dl.acm.org
The Long Range (LoRa) protocol for low-power wide-area networks (LPWANs) is a strong
candidate to enable the massive roll-out of the Internet of Things (IoT) because of its low …
candidate to enable the massive roll-out of the Internet of Things (IoT) because of its low …
Towards scalable and channel-robust radio frequency fingerprint identification for LoRa
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …
technique based on transmitter hardware impairments. The device-specific hardware …
LoRaSONN: A Novel Self-Operational Neural Network Learning Framework for RF-Fingerprint Identification of LoRa Devices
Radio-frequency (RF) fingerprint identification leverages the inherent unique transmitter
hardware impairments to authenticate an emitter through an analysis of the received signal …
hardware impairments to authenticate an emitter through an analysis of the received signal …
[HTML][HTML] Radio fingerprinting for anomaly detection using federated learning in LoRa-enabled Industrial Internet of Things
Abstract Long Range (LoRa) communications are gaining popularity in the Industrial Internet
of Things (IIoT) domain due to their large coverage and high energy efficiency. However …
of Things (IIoT) domain due to their large coverage and high energy efficiency. However …